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G.A.V. (Graph Algorithm Visualizer) is a tool that visualizes algorithms from graph theory. A step-by-step visualization from each different algorithm allows the user to understand the particular algorithm very easily.
C++ Graph is a port of the Annas.Graph Java Library to C++. Visual components are excluded from this port. Will support Breadth First and Depth First Searches, Djikstra Algorithm for shortest path.
Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.
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The simpliZia-program implements the simplex-algorithm and is designed to help students of Operations Research to understand and learn the algorithm. This is a german project, source and program are actually written in german.
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jGABL (the Java Graph Algorithm Base Library) is a java library for the implementation of graph algorithms. It covers a hierarchy of graph concepts, various graph implementations, and algorithm animation.
This project provides a JAVA library and a graphical user interface which implement the "FastICA" algorithm based on the paper "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis (ICA)" by Aapo Hyvärinen.
CryptoHelper is a Java program designed to aid in the decryption of classical ciphers, ie pre WWII ciphers. It brings together tools like frequency analysis, friedman tests, enciphering/deciphering for several clasical ciphers, and brute force algorithm
Java Randomness Test Suite is a gui application to run randomness tests on random stream resource (file or algorithm). Application can be run in command line. Includes general statistical tests, NIST and DIEHARD tests.
NAC is a collection of tools for cryptography. The goal is to provide simple-to-use crypto tools (like an OTP, String and number generator, public key algorithm...) you can use under Linux, Windows...
Simulated annealing package written in Java using simplex downhill algorithm from Numerical Recipies in C++/FORTRAN/C
It is intended for use "behind the scenes" in applications, and it is optimised for ease of integration.
Completely standalone,
Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
A java command-line application where the main goal is to solve any simplex problem. It's a team-work school project. It can be usefull for other students who needs to understand the simplex algorithm.